Cognitive functions, emotional status, MRI measurements in treatment-naïve middle-aged patients with uncomplicated essential arterial hypertension
Bibliographic record
Abstract
AIM: To study cognitive functions, anxiety and depression levels, 24-hour blood pressure (BP) profile, cerebral blood flow (CBF) perfusion in treatment-naive middle-aged patients with uncomplicated essential arterial hypertension (EAH) depending on the white matter hyperintensities (WMH) burden. MATERIAL AND METHODS: Forty-one hypertensive patients (mean age 46.2±4.6 years) and 41 healthy volunteers (mean age 50.3±6.7 years) were enrolled to the study. All subjects underwent brain MRI (MAGNETOM Skyra 3.0T, T1, T2 FSE, T2 FLAIR, T1 MPRAGE, ASL), Montreal cognitive assessment (MoCa), 10-word learning task, verbal fluency test, trail making test, Stroop color and word test, anxiety and depression assessment with Hamilton rating scales, 24-hour blood pressure monitoring (ABPM). RESULTS: WMH were found in 22 (53.7%) hypertensive patients and in 3 (7.3%) healthy volunteers (p=0.0002). Hypertensive patients had the significantly lower CBF compared to controls (p<0.001). CONCLUSION: WMH were identified in treatment-naive middle-aged patients with uncomplicated mild to moderate EAH. There was an association between WMH and lower CBF in the cortical plate of frontal lobes, SBP variability and worse cognition. Cerebral hypoperfusion can cause cognitive impairment even in the earliest stages of EAH, which increases due to emotional disorders.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".